Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. In practice, much of this work will be performed by multiple observers, and maximising inter-observer consistency is of particular importance. Another discipline where consistency in classification is vital is biological taxonomy. A classification tool of great utility, the binary key, is designed to simplify the classification decision process and ensure consistent identification of proper categories. We show how this same decision-making tool - the binary key - can be used to promote consistency in the classification of behaviour. The construction of a binary key also ensures that the categories in which behaviour is classified are complete and non-overlapping. We discuss the general principles of design of binary keys, and illustrate their construction and use with a practical example from education research.
Conference proceeding
Improving behaviour classification consistency : a technique from biological taxonomy
Australian Association for Research in Education Conference
Australian Association for Research in Education Conference (Brisbane, Qld., December)
2002
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Abstract
Details
- Title
- Improving behaviour classification consistency : a technique from biological taxonomy
- Creators
- Serene H Choi - University of QueenslandTimo Nieminen - University of QueenslandMark Bahr - University of QueenslandNan Bahr - University of Queensland
- Publication Details
- Australian Association for Research in Education Conference
- Conference
- Australian Association for Research in Education Conference (Brisbane, Qld., December)
- Identifiers
- 1260; 991012822068402368
- Academic Unit
- Office of the Vice Chancellor
- Resource Type
- Conference proceeding